3 papers
cs.CR2025
Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures
Suqing Wang, Ziyang Ma, Li Xinyi +1
Large Language Models (LLMs) are widely adopted, but their high training cost leads many developers to fine-tune existing open-source models. While most adhere to open-source licen…
cs.LG2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development
Suqing Wang, Zuchao Li, Luohe Shi +4
Large language models (LLMs) have achieved remarkable success across various domains, driving significant technological advancements and innovations. Despite the rapid growth in mo…
cs.CV2025
CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
Zicong Tang, Ziyang Ma, Suqing Wang +5
Large Vision-Language Models (LVLMs) process multimodal inputs consisting of text tokens and vision tokens extracted from images or videos. Due to the rich visual information, a si…